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Epidemiology: An Introduction
Comment from the Stata technical groupThe study of epidemiology requires a deep understanding of statistics. Many texts focus on formulas, calculations, and software rather than on the concepts you need to know. It's easy to get lost in all the jargon. This text is ideal for beginners in epidemiological statistics to learn the terminology and understand how and when to use statistical tools. The next focuses on concepts, not on mathematics, and discusses statistical techniques in the context of the real problems they can solve. This text bridges the gap between what is taught in an introductory statistics text and what you need to be an effective researcher and analyst. Table of contents1 Introduction to Epidemiologic Thinking
2 What Is Causation?
3 Measuring Disease Occurrence and Causal Effects
4 Types of Epidemiologic Study
5 Biases in Study Design
6 Random Error and the Role of Statistics
7 Analyzing Simple Epidemiologic Data
8 Controlling Confounding by Stratifying Data
9 Measuring Interactions
10 Using Regression Models in Epidemiologic Analysis
11 Epidemiology in Clinical Settings
Appendix
Index
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